Awesome
<div align="center"> <img src="https://avatars.githubusercontent.com/u/96821265?s=200&v=4" height="100" alt="Open Spaced Repetition logo"/> </div> <div align="center">Anki SM-2
</div> <div align="center"> <em>🌟 Anki's legacy SM-2-based spaced repetition algorithm 🌟</em> </div> <br /> <div align="center" style="text-decoration: none;"> <a href="https://pypi.org/project/anki-sm-2/"><img src="https://img.shields.io/pypi/v/anki-sm-2"></a> <a href="https://github.com/open-spaced-repetition/anki-sm-2/blob/main/LICENSE" style="text-decoration: none;"><img src="https://img.shields.io/badge/License-AGPL--3.0-brightgreen.svg"></a> </div> <br /> <div align="left"> <strong> Python package implementing Anki's <a href="https://docs.ankiweb.net/deck-options.html#new-cards">SM-2-based algorithm</a> for spaced repetition scheduling. </strong> </div>Installation
You can install the anki-sm-2 python package from PyPI using pip:
pip install anki-sm-2
Quickstart
Import and initialize the Anki SM-2 Scheduler
from anki_sm_2 import Scheduler, Card, Rating
scheduler = Scheduler()
Create a new Card object
card = Card()
Choose a rating and review the card
# Rating.Again (==1) forgot the card
# Rating.Hard (==2) remembered the card with serious difficulty
# Rating.Good (==3) remembered the card after a hesitation
# Rating.Easy (==4) remembered the card easily
rating = Rating.Good
card, review_log = scheduler.review_card(card, rating)
print(f"Card rated {review_log.rating} at {review_log.review_datetime}")
# > Card rated 3 at 2024-10-31 01:36:57.080934+00:00
See when the card is due next
from datetime import datetime, timezone
due = card.due
# how much time between when the card is due and now
time_delta = due - datetime.now(timezone.utc)
print(f"Card due: at {due}")
print(f"Card due in {time_delta.seconds / 60} minutes")
# > Card due: at 2024-10-31 01:46:57.080934+00:00
# > Card due in 9.983333333333333 minutes
Usage
Timezone
Anki SM-2 uses UTC time only. You can still specify custom datetimes, but they must be UTC.
from anki_sm_2 import Scheduler, Card, Rating, ReviewLog
from datetime import datetime, timezone
scheduler = Scheduler()
# create a new card to be due on Jan. 1, 2024
card = Card(due=datetime(2024, 1, 1, 0, 0, 0, 0, timezone.utc)) # right
#card = Card(due=datetime(2024, 1, 1, 0, 0, 0, 0)) # wrong
# review the card on Jan. 2, 2024
card, review_log = scheduler.review_card(card=card, rating=Rating.Good, review_datetime=datetime(2024, 1, 2, 0, 0, 0, 0, timezone.utc)) # right
#card, review_log = scheduler.review_card(card=card, rating=Rating.Good, review_datetime=datetime(2024, 1, 2, 0, 0, 0, 0)) # wrong
Serialization
Scheduler
, Card
and ReviewLog
objects are all json-serializable via their to_dict
and from_dict
methods for easy database storage:
# serialize before storage
scheduler_dict = scheduler.to_dict()
card_dict = card.to_dict()
review_log_dict = review_log.to_dict()
# deserialize from dict
scheduler = Scheduler.from_dict(scheduler_dict)
card = Card.from_dict(card_dict)
review_log = ReviewLog.from_dict(review_log_dict)
Versioning
This python package is currently unstable and adheres to the following versioning scheme:
- Minor version will increase when a backward-incompatible change is introduced.
- Patch version will increase when a bug is fixed, a new feature is added or when anything else backward compatible warrants a new release.
Once this package is considered stable, the Major version will be bumped to 1.0.0 and will follow semver.
Other SRS python packages
Contribute
Checkout CONTRIBUTING to help improve Anki SM-2!
Official implementation
You can find the code for Anki's official Rust-based scheduler here.